Haiku the News

#data

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Satellites see scars  
Sicily’s green turns to ash  
Maps count what fire took

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type: newsquality: 86

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Heat writes unseen names  
Death ledgers miss fever’s toll  
Summer spreads its shroud

	author:	Alejandra Borunda	institution:	NPR	¿porque no los dos?
	tl;dr	An NPR investigation with Boston University argues that U.S. heat-related deaths are substantially undercounted because death certificates and local reporting often fail to record heat as a contributing factor. NPR says CDC tallies averaged about 700 deaths/year (2004–2018) and about 1,700/year (2018–2025), but their model estimates roughly 9,000 deaths/year are impacted by heat, sometimes exceeding 10,000. The story links increasing heat risk to human-caused climate change, highlights geographic spread beyond traditionally hot states, and notes places like Maricopa County, AZ, have better counting protocols.
	deeper:	The piece is evidence-forward and grounded in institutions (CDC, National Climate Assessment) and named experts, and it discloses a two-year effort with a statistical model. Bias mainly appears in framing and word choice (“staggering,” “hidden toll”) and in presenting heat risk as driven by human-caused climate change without engaging counter-arguments (though this aligns with mainstream scientific consensus). Quality is high for transparency and specificity, but limited in these excerpts by lack of methodological detail (model assumptions, uncertainty ranges) and limited opposing viewpoints.
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	author:	Unknown	institution:	ProPublica	¿porque no los dos?
	tl;dr	The image appears to be a ProPublica investigative article page (dark theme) featuring at least one data visualization (a block/strip chart with green bars) and an embedded image of a heavily redacted document. However, the screenshot resolution is too low to reliably read the headline, key claims, names, numbers, or supporting evidence. Without legible text, I can’t accurately summarize the article’s findings or assess whether specific assertions are well-supported.
	deeper:	ProPublica typically publishes document-driven investigative reporting with data and source material, and the visible chart + redacted document suggest an evidence-forward approach. That said, this specific screenshot is not readable enough to verify what’s being argued, whether opposing perspectives are included, or whether the data is interpreted fairly—so any deeper bias/quality judgment would be speculative. If you share a link or a higher-resolution image, I can score this more precisely.
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